Data Analytics Project

Overview

• This project involves data analytics on a dataset provided in CSV format. We utilized Google Colab as our cloud platform for analysis. Our goal was to uncover insights from the dataset, which are documented in the cardekho.ipynb notebook. The project report is also included in the repository.

Table of Contents

• Introduction
• Dataset
• Installation
• Usage
• Project Structure
• Insights

Introduction

• This repository contains the code and analysis for a data analytics project. The primary objective is to explore and analyze the dataset to derive meaningful insights.

Dataset

• The dataset used in this project is provided in CSV format. It includes information about cars and bikes, their present price, selling price, and other attributes.

Installation

• To run this project, you'll need to have the following installed:

• Google Colab account

• Basic knowledge of Python and Jupyter Notebooks

Usage

• Open Google Colab and upload the cardekho.ipynb notebook.
• Upload the dataset CSV file to your Colab environment.
• Run the cells in the notebook to perform the analysis.

Project Structure

• cardekho.ipynb: Jupyter Notebook containing the data analysis and insights.
• car_Dehko_DA.csv: The dataset used for analysis.
• Data Analytics Internship project.ppt: Detailed project report documenting the analysis process and findings.

Insights

• The key insights from the analysis are stored in the cardekho.ipynb notebook. These insights include:
• Statistical summaries of the data
• Visualizations of various attributes
• Correlation analysis
• Key trends and patterns observed